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MiniMax provides an OpenAI-compatible API, so we route requests to their endpoint (https://api.minimaxi.com/v1) when the model name starts with "minimax". This keeps the existing OpenAI flow unchanged. Changes: - Add MINIMAX_API_KEY env var and base_url routing in utils.py - Fix tiktoken fallback for non-OpenAI models (cl100k_base) - Update README with MiniMax API key setup and model options Usage: python3 run_pageindex.py --pdf_path doc.pdf --model MiniMax-M2.5 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add explicit --provider flag (openai/minimax) instead of auto-detecting by model name - Add --api-base-url option for custom API endpoints - Update MiniMax base URL to https://api.minimax.io/v1 - Enhance README with detailed provider documentation and usage examples - Support environment variables LLM_PROVIDER and API_BASE_URL This gives users more control over LLM routing and makes it easier to use custom endpoints or switch providers without changing model names. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Made-with: Cursor
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Summary
https://api.minimaxi.com/v1)cl100k_basefor non-OpenAI modelsUsage
Supported MiniMax models:
MiniMax-M1,MiniMax-M2.5,MiniMax-M2.5-highspeed, etc.Design
Since MiniMax provides an OpenAI-compatible API, the implementation reuses the existing OpenAI SDK client by passing a custom
base_url. A helper function_get_client_kwargs()selects the right credentials and endpoint based on the model name. No new dependencies required.Test plan
Relates to #150
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